diff --git a/Coderforces_Problem_Scrapper/Codeforces_problem_scrapper.py b/Coderforces_Problem_Scrapper/Codeforces_problem_scrapper.py
new file mode 100644
index 0000000000..2f2bb074a4
--- /dev/null
+++ b/Coderforces_Problem_Scrapper/Codeforces_problem_scrapper.py
@@ -0,0 +1,153 @@
+import os
+from selenium import webdriver  # Automated webdriver
+from PIL import Image
+from fpdf import FPDF  # For converting images to pdf
+
+
+def select_difficulty():
+    """
+    This function will let user to choose the difficulty level
+    :return: difficulty_level[]
+    """
+    difficulty_level = []
+    print("\nEnter the Range of difficulty  between 800 to 3500: ")
+    difficulty_level.append(int(input("Min: ")))
+    difficulty_level.append(int(input("Max: ")))
+
+    return difficulty_level
+
+
+def extracting_problem_links(diff_level):
+    """
+    This function saves first saves the link of the pages to scrape from
+    and then the link of every question, saves it in list
+    :param diff_level: difficulty_level entered by the user
+    :return pblms_links: consists of all the available questions to scrape
+    """
+    no_of_questions = int(input("\nHow many Questions you want to scrape: "))
+
+    pblms_link_scraped = 0
+    pblms_links = []
+    page = 1
+    options = webdriver.ChromeOptions()
+    options.headless = True
+    driver = webdriver.Chrome(DRIVER_PATH, options=options)
+    print("\nRequesting URL ...")
+    driver.get(f"https://codeforces.com/problemset/?tags={diff_level[0]}-{diff_level[1]}")
+
+    # ===================Getting no. of Pages to Scrape=============================
+
+    # It will give the total no. of pages present with that question from
+    # which we are going to scrape
+    page_links = []
+
+    print("\nFinding available pages to scrape....")
+
+    available_pages = driver.find_elements_by_css_selector("div.pagination a")
+    for page_no in available_pages:
+        page_links.append(page_no.get_attribute("href"))
+
+    print(f"Available Pages to scrape are: {len(page_links[:-1])}")
+
+    # ===================================================================================
+
+    # ***************************** SCRAPING PAGE 1 *************************************
+    print(f"\nScraping Page {page}")
+
+    elements = driver.find_elements_by_css_selector("td.id.dark.left a" and "td.id.left a")
+    for element in elements:
+        # Saving the link in pblms_links
+        pblms_links.append(element.get_attribute("href"))
+        pblms_link_scraped += 1
+
+        # If we scraped required no. of questions then return
+        if pblms_link_scraped == no_of_questions:
+            print(f"URLs of Question Scraped till now: {pblms_link_scraped}")
+            print(f"\nURLs Scrapped Successfully {pblms_link_scraped} out of {no_of_questions}")
+            return pblms_links
+    page += 1
+    print(f"URLs of Question Scraped till now: {pblms_link_scraped}")
+    # *************************************************************************************
+
+    # ----------------------------- SCRAPING SUBSEQUENT PAGES -----------------------------
+    for link in page_links[1:-1]:
+        print(f"\nScraping Page {page}")
+
+        # Going to next Page
+        driver.get(link)
+        elements = driver.find_elements_by_css_selector("td.id.dark.left a" and "td.id.left a")
+        for element in elements:
+            # Saving the link in pblms_links
+            pblms_links.append(element.get_attribute("href"))
+            pblms_link_scraped += 1
+
+            # If we scraped required no. of questions then return
+            if pblms_link_scraped == no_of_questions:
+                print(f"URLs of Question Scraped till now: {pblms_link_scraped}")
+                print(f"\nURLs Scrapped Successfully {pblms_link_scraped} out of {no_of_questions}")
+                return pblms_links
+
+        print(f"URLs of Question Scraped till now: {pblms_link_scraped}")
+        page += 1
+    # ----------------------------------------------------------------------------------------------
+
+    # scraped all the available questions but still the count is less
+    print(f"\n{pblms_link_scraped} out of {no_of_questions} URLs able to scrapped !!!")
+    return pblms_links
+
+
+def getproblem(URLs):
+    """
+    getproblem() : It takes input from the user of codeforces problemID and difficulty
+    level and then by using selenium and chrome webdriver, capturing screenshot of the
+    Codeforces problem using ttypography tag because all the problems of codeforces are
+    stored inside this div tag and saving it in a image.png file.
+    Then saving the image.png as pdf file by using fdf library.
+    """
+
+    path = 'image.png'
+
+    # Creating a Target Output Folder
+    target_folder = './Coderforces_Problem_Scrapper/problems_pdf'
+    if not os.path.exists(target_folder):
+        os.makedirs(target_folder)
+
+    options = webdriver.ChromeOptions()
+    # Headless = True for taking a scrolling snapshot
+    options.headless = True
+    driver = webdriver.Chrome(DRIVER_PATH, options=options)
+    file_counter = 1
+
+    for url in URLs:
+        driver.get(url)
+        # Deciding height by tag
+        required_height = driver.execute_script(
+            'return document.body.parentNode.scrollHeight')
+        driver.set_window_size(1366, required_height)
+
+        title = driver.find_element_by_class_name("title").text
+        filename = title[3:] + '.pdf'
+
+        # Taking SS of everything within the ttypography class
+        driver.find_element_by_class_name('ttypography').screenshot(path)
+
+        # Opening image with pillow so based to capture its height and width
+        cover = Image.open(path)
+        WIDTH, HEIGHT = cover.size
+        MARGIN = 10
+        # based on image's height and width we are adjusting the pdf margin and borders
+        pdf = FPDF(unit='pt', format=[WIDTH + 2 * MARGIN, HEIGHT + 2 * MARGIN])
+        pdf.add_page()  # Adding new page to the pdf
+        pdf.image(path, MARGIN, MARGIN)
+
+        pdf.output(os.path.join(target_folder, filename), "F")  # saving the pdf with the specified filename
+        print(f'File saved in your directory ./problems_pdf/{filename}   ({file_counter}/{len(URLs)}) !')
+        file_counter += 1
+
+
+if __name__ == "__main__":
+    DRIVER_PATH = input("Enter DRIVER PATH location: ")
+    diff = select_difficulty()   # Accepting difficulty level from user
+    problems_link = extracting_problem_links(diff)  # scraping the required the no. of links
+    getproblem(problems_link)  # saving the Questions in PDF file.
+    os.remove('image.png')
diff --git a/Coderforces_Problem_Scrapper/README.md b/Coderforces_Problem_Scrapper/README.md
new file mode 100644
index 0000000000..1a7a1153e1
--- /dev/null
+++ b/Coderforces_Problem_Scrapper/README.md
@@ -0,0 +1,35 @@
+# Save any number of Problem Statement you like from Codeforces as a PDF.
+
+This python script will let you download any number of Problem Statements from Codeforces and save them as a pdf file. The script uses Selenium Webdriver and fpdf library. Selenium is used with Chrome Webdriver, so having Chrome browser is a requirement.
+
+## Setting up:
+
+- Create a virtual environment and activate it.
+
+- Install the requirements
+
+```sh
+  $ pip install -r requirements.txt
+```
+
+## Running the script:
+
+```sh
+  $ python Codeforces_Problem_Scrapper.py
+```
+
+## Terminal Screenshot:
+
+![Imgur](https://i.imgur.com/gqHMxMz.png)
+
+The program will ask you to enter:
+1.  DRIVER PATH
+2.  VALID Difficulty Range of PROBLEMS.
+3.  Number of Questions to Scrape.
+
+## PDF Output:
+![Imgur](https://i.imgur.com/1iMC7PE.png)
+![GIF](https://media.giphy.com/media/lQ95K1IzUGB2tiqlmZ/giphy.gif)
+
+## Author
+[ Akhil Bhalerao ](https://github.com/iamakkkhil)
diff --git a/Coderforces_Problem_Scrapper/requirements.txt b/Coderforces_Problem_Scrapper/requirements.txt
new file mode 100644
index 0000000000..d776f5490d
--- /dev/null
+++ b/Coderforces_Problem_Scrapper/requirements.txt
@@ -0,0 +1,3 @@
+pillow
+fpdf
+selenium
diff --git a/Script to check Sentiment/Readme.md b/Script to check Sentiment/Readme.md
new file mode 100644
index 0000000000..5482672ca5
--- /dev/null
+++ b/Script to check Sentiment/Readme.md	
@@ -0,0 +1,40 @@
+# <b>Sentiment Detector</b>
+
+[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
+
+## Sentiment Detector Functionalities : 🚀
+
+- In the input field write the sentence whose sentiment is to be checked
+- On clicking on ```check sentiment``` button it displays the percentage of neutral, positive and negative sentiments
+- It also displays the overall sentiment
+
+## Sentiment Detector Instructions: 👨🏻‍💻
+
+### Step 1:
+
+    Open Termnial 💻
+
+### Step 2:
+
+    Locate to the directory where python file is located 📂
+
+### Step 3:
+
+    Run the command: python script.py/python3 script.py 🧐
+
+### Step 4:
+
+    Sit back and Relax. Let the Script do the Job. ☕
+
+## Requirements
+
+    - vaderSentiment
+    - tkinter
+
+## DEMO
+![Screenshot (211)](https://user-images.githubusercontent.com/60662775/115137592-9ac8c000-a044-11eb-83fe-84eaeb549283.png)
+
+## Author
+   
+   Amit Kumar Mishra
+
diff --git a/Script to check Sentiment/script.py b/Script to check Sentiment/script.py
new file mode 100644
index 0000000000..23579ddf20
--- /dev/null
+++ b/Script to check Sentiment/script.py	
@@ -0,0 +1,92 @@
+from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
+from tkinter import *
+ 
+def detect_sentiment():
+
+    sentence = textArea.get("1.0", "end")
+    sid_obj = SentimentIntensityAnalyzer()
+ 
+    sentiment_dict = sid_obj.polarity_scores(sentence)
+ 
+    string = str(sentiment_dict['neg']*100) + "% Negative"
+    negativeField.insert(10, string)    
+ 
+    string = str(sentiment_dict['neu']*100) + "% Neutral"
+    neutralField.insert(10, string)
+ 
+    string = str(sentiment_dict['pos']*100) +"% Positive"
+    positiveField.insert(10, string)
+     
+    if sentiment_dict['compound'] >= 0.05 :
+        string = "Positive"
+ 
+    elif sentiment_dict['compound'] <= - 0.05 :
+        string = "Negative"
+    else :
+        string = "Neutral"
+ 
+    overallField.insert(10, string)
+         
+def clearAll() :
+    
+    negativeField.delete(0, END)
+    neutralField.delete(0, END)
+    positiveField.delete(0, END)
+    overallField.delete(0, END)
+    textArea.delete(1.0, END)     
+ 
+    
+gui = Tk()
+gui.config(background =  "light blue")
+gui.title("Sentiment Detector")
+ 
+gui.geometry("500x500")
+enterText = Label(gui, text = "Enter Your Sentence",bg = "light blue")
+ 
+textArea = Text(gui, height = 10, width = 53, font = "lucida 13")
+ 
+check = Button(gui, text = "Check Sentiment", fg = "Black",bg = "light yellow", command = detect_sentiment)
+negative = Label(gui, text = "sentence was rated as: ",bg = "light blue")
+   
+neutral = Label(gui, text = "sentence was rated as: ",bg = "light blue")
+ 
+positive = Label(gui, text = "sentence was rated as: ",bg = "light blue")
+ 
+overall = Label(gui, text = "Sentence Overall Rated As: ",bg = "light blue")
+
+negativeField = Entry(gui)
+ 
+neutralField = Entry(gui)
+positiveField = Entry(gui)
+overallField = Entry(gui)
+clear = Button(gui, text = "Clear", fg = "Black",bg = "light yellow", command = clearAll)
+Exit = Button(gui, text = "Exit", fg = "Black",bg = "light yellow", command = exit)
+
+enterText.grid(row = 0, column = 2)
+     
+textArea.grid(row = 1, column = 2, padx = 10, sticky = W)
+     
+check.grid(row = 2, column = 2)
+     
+neutral.grid(row = 3, column = 2)
+
+neutralField.grid(row = 4, column = 2)
+
+positive.grid(row = 5, column = 2)
+
+positiveField.grid(row = 6, column = 2)
+     
+negative.grid(row = 7, column = 2)
+     
+negativeField.grid(row = 8, column = 2)
+ 
+overall.grid(row = 9, column = 2)                     
+
+overallField.grid(row = 10, column = 2)
+     
+clear.grid(row = 11, column = 2)
+     
+Exit.grid(row = 12, column = 2)
+
+gui.mainloop()
+